Overview
- Presents a scientific methodology for systematic resilience improvement of complex systems
- Identifies effective approaches for risk identification, security assessment, system protection, and recovery
- Provides practical case studies of relevant methods in power and energy systems
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 478)
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Table of contents (12 chapters)
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Front Matter
Keywords
About this book
This book provides a systematic framework to enhance the ability of complex dynamical systems in risk identification, security assessment, system protection, and recovery with the assistance of advanced control and optimization technologies. By treating external disturbances as control inputs, optimal control approach is employed to identify disruptive disturbances, and online security assessment is conducted with Gaussian process and converse Lyapunov function. Model predictive approach and distributed optimization strategy are adopted to protect the complex system against critical contingencies. Moreover, the reinforcement learning method ensures the efficient restoration of complex systems from severe disruptions. This book is meant to be read and studied by researchers and graduates. It offers unique insights and practical methodology into designing and analyzing complex dynamical systems for resilience elevation.
Authors and Affiliations
About the author
Chao Zhai received the Bachelor's degree in automation engineering from Henan University in 2007 and earned the Master's degree in control theory and control engineering from Huazhong University of Science and Technology in 2009. He received the Ph.D. degree in complex system and control from the Institute of Systems Science, Chinese Academy of Sciences, Beijing, China, in June 2013. From July 2013 to August 2015, he was a post-doctoral fellow at the University of Bristol, Bristol, UK. He is a full professor at the School of Automation, China University of Geosciences, Wuhan, China. His research interests include multi-agent cooperative control, resilient system, social motor coordination, and geohazard monitoring. He is a senior member of IEEE.
Bibliographic Information
Book Title: Control and Optimization Methods for Complex System Resilience
Authors: Chao Zhai
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-981-99-3053-1
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-3052-4Published: 27 June 2023
Softcover ISBN: 978-981-99-3055-5Due: 28 July 2023
eBook ISBN: 978-981-99-3053-1Published: 26 June 2023
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XX, 206
Number of Illustrations: 6 b/w illustrations, 62 illustrations in colour
Topics: Control, Robotics, Mechatronics, Cyber-physical systems, IoT, Control and Systems Theory